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A Fuzzy DEMATEL Method to Identify Critical Success Factors of Knowledge Management Adoption in Supply Chain

Author

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  • Sachin K. Patil

    (Department of Mechanical Engineering, S.V. National Institute of Technology, Surat, 395007, India)

  • R. Kant

    (Department of Mechanical Engineering, S.V. National Institute of Technology, Surat, 395007, India)

Abstract

In globalisation of business, Knowledge Management (KM) plays an important role in Supply Chain (SC) to create, build and maintain competitive advantage through utilisation of knowledge and through collaborative practices. Literature review have suggested the performance of KM adoption in SC may be affected by various influencing factors but it is always difficult for the practitioners to improve all aspects at the same time. The aim of this study is to identify Critical Success Factors (CSFs) of KM adoption in SC. This study presents a favourable method combining fuzzy set theory and the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method to segment the critical factors for successful KM adoption in SC. The empirical case study analysis of an Indian hydraulic valve manufacturing organisation is conducted to illustrate the use of the proposed framework for identifying the CSFs of KM adoption in SC. According to the results of the empirical study, six CSFs of KM adoption in SC are identified out of 25 influencing factors, these are top management support, communication and collaboration techniques, employee involvement, employee training and education, communication among the SC members and trustworthy teamwork to exchange knowledge within SC which will help to improve effectiveness and efficiency of KM adoption in SC. The decision makers can apply a phased implementation of these CSFs to ensure the effective KM adoption in SC under the constraints of available resources. This proposed method provides a more accurate, effective and systematic decision support tool for identifying CSFs of KM adoption in SC.

Suggested Citation

  • Sachin K. Patil & R. Kant, 2013. "A Fuzzy DEMATEL Method to Identify Critical Success Factors of Knowledge Management Adoption in Supply Chain," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 12(03), pages 1-15.
  • Handle: RePEc:wsi:jikmxx:v:12:y:2013:i:03:n:s0219649213500196
    DOI: 10.1142/S0219649213500196
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    Citations

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    Cited by:

    1. Priyanka Vern & Anupama Panghal & Rahul S Mor & Sachin S. Kamble & Md. Shamimul Islam & Syed Abdul Rehman Khan, 2023. "Influential barriers to blockchain technology implementation in agri-food supply chain," Operations Management Research, Springer, vol. 16(3), pages 1206-1219, September.
    2. Nelson Oliveira Stefanelli & Charbel José Chiappetta Jabbour & Lara Bartocci Liboni Amui & Jorge Henrique Caldeira de Oliveira & Hengky Latan & Pascal Paillé & Martin Hingley, 2021. "Unleashing proactive low‐carbon strategies through behavioral factors in biodiversity‐intensive sustainable supply chains: Mixed methodology," Business Strategy and the Environment, Wiley Blackwell, vol. 30(5), pages 2535-2555, July.
    3. Ahmad Morshedi & Navid Nezafati & Sajjad Shokouhyar, 2024. "Motivational Factors Affecting Knowledge Sharing in Steel Industry Supply Chain: A Mixed Qualitative-Quantitative Method Analysis," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(2), pages 6273-6311, June.
    4. Kamble, Sachin S. & Gunasekaran, Angappa & Parekh, Harsh & Joshi, Sudhanshu, 2019. "Modeling the internet of things adoption barriers in food retail supply chains," Journal of Retailing and Consumer Services, Elsevier, vol. 48(C), pages 154-168.
    5. Tomas Cherkos Kassaneh & Ettore Bolisani & Juan-Gabriel Cegarra-Navarro, 2021. "Knowledge Management Practices for Sustainable Supply Chain Management: A Challenge for Business Education," Sustainability, MDPI, vol. 13(5), pages 1-15, March.
    6. Manu Sharma & Deepak Kaushal & Sudhanshu Joshi, 2023. "Strategic measures for enhancing resiliency in knowledge base supply chains: an emerging economy perspective," Operations Management Research, Springer, vol. 16(3), pages 1185-1205, September.

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